Katrina Ligett
Katrina Ligett
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A learning theory approach to noninteractive database privacy
A Blum, K Ligett, A Roth
Journal of the ACM (JACM) 60 (2), 1-25, 2013
A simple and practical algorithm for differentially private data release
M Hardt, K Ligett, F McSherry
NIPS'12: Proceedings of the 25th International Conference on Neuralá…, 2012
Differentially private combinatorial optimization
A Gupta, K Ligett, F McSherry, A Roth, K Talwar
Proceedings of the twenty-first annual ACM-SIAM symposium on Discreteá…, 2010
Aerial observations of the evolution of ice surface conditions during summer
DK Perovich, WB Tucker III, KA Ligett
Journal of Geophysical Research 107 (C10), 8048, 2002
Routing without regret: On convergence to Nash equilibria of regret-minimizing algorithms in routing games
A Blum, E Even-Dar, K Ligett
Theory of Computing 6 (1), 179-199, 2010
Regret minimization and the price of total anarchy
A Blum, MT Hajiaghayi, K Ligett, A Roth
Proceedings of the fortieth annual ACM symposium on Theory of computing, 373-382, 2008
Penalizing unfairness in binary classification
Y Bechavod, K Ligett
arXiv preprint arXiv:1707.00044, 2018
Privacy and data-based research
O Heffetz, K Ligett
Journal of Economic Perspectives 28 (2), 75-98, 2014
Playing games with approximation algorithms
SM Kakade, AT Kalai, K Ligett
Proceedings of the thirty-ninth annual ACM symposium on Theory of computingá…, 2007
Compressing rectilinear pictures and minimizing access control lists
DA Applegate, G Calinescu, DS Johnson, H Karloff, K Ligett, J Wang
Society for Industrial and Applied Mathematics, 2007
Take it or leave it: Running a survey when privacy comes at a cost
K Ligett, A Roth
Internet and Network Economics: 8th International Workshop, WINE 2012á…, 2012
A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret.
L Andrew, S Barman, K Ligett, M Lin, A Meyerson, A Roytman, A Wierman
Conference on Learning Theory 30, 741-763, 2013
Accuracy first: Selecting a differential privacy level for accuracy-constrained ERM
K Ligett, S Neel, A Roth, B Waggoner, S Wu
Journal of Privacy and Confidentiality 9 (2), 2019
Buying private data without verification
A Ghosh, K Ligett, A Roth, G Schoenebeck
Proceedings of the fifteenth ACM conference on Economics and computationá…, 2014
Differential privacy with compression
S Zhou, K Ligett, L Wasserman
2009 IEEE International Symposium on Information Theory, 2718-2722, 2009
Beyond the Nash Equilibrium Barrier.
RD Kleinberg, K Ligett, G Piliouras, ╔ Tardos
ICS, 125-140, 2011
Adaptive learning with robust generalization guarantees
R Cummings, K Ligett, K Nissim, A Roth, ZS Wu
Conference on Learning Theory, 772-814, 2016
Truthful Linear Regression
R Cummings, S Ioannidis, K Ligett
Conference on Learning Theory 40, 2015
Equal opportunity in online classification with partial feedback
Y Bechavod, K Ligett, A Roth, B Waggoner, ZS Wu
Neural and Information Processing Systems (NeurIPS) 32, 2019
Accuracy for sale: Aggregating data with a variance constraint
R Cummings, K Ligett, A Roth, ZS Wu, J Ziani
Proceedings of the 2015 conference on innovations in theoretical computerá…, 2015
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